Results 51 to 60 of about 26,722,291 (305)

Data‐driven computing in dynamics [PDF]

International Journal for Numerical Methods in Engineering, 2017
SummaryWe formulate extensions to data‐riven computing for both distance‐minimizing and entropy‐maximizing schemes to incorporate time integration. Previous works focused on formulating both types of solvers in the presence of static equilibrium constraints.
T. Kirchdoerfer, M. Ortiz
openaire   +3 more sources

Comparative Evaluation of Hemodiafiltration, Hemoperfusion, and Standard Hemodialysis on Efficacy, Inflammatory Control, Dialysis Adequacy, and Safety in End‐Stage Renal Disease: A Prospective Observational Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo, Weisi Dai, Jie Mao, Mei Ye, Xingshan Lu, Xiaocui Zhang   +5 more
wiley   +1 more source

Data democratization: Empowering employees for data-driven innovation

, 2023
The exponentially growing usage and its benefits of digitizing data, as well as changes in data management practices, are continuously moderating the global economy and how organizations perform business operations.
Lokuge, Sachithra, Samarasinghe, Sasari
core   +1 more source

AI-powered segmentation and prognosis with missing MRI in pediatric brain tumors

npj Precision Oncology
Brain MRI is the primary imaging modality for pediatric brain tumors, yet incomplete acquisitions are common, hindering the clinical utility of existing deep learning models for tumor segmentation and prognosis.
Dimosthenis Chrysochoou, Deep B. Gandhi, Sahand Adib, Ariana M. Familiar, Bhavyasri Vunnava, Sanaz Varshochi, Neda Khalili, Nastaran Khalili, Jeffrey B. Ware, Wenxin Tu, Paarth Jain, Hannah Anderson, Shuvanjan Haldar, Phillip B. Storm, Andrea Franson, Michael Prados, Cassie Kline, Sabine Mueller, Adam Resnick, Arastoo Vossough, Christos Davatzikos, Ali Nabavizadeh, Anahita Fathi Kazerooni   +22 more
doaj   +1 more source

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin, Berrak Itır Aylı, Nüket Paksoy   +2 more
wiley   +1 more source

Data Driven Data Mining to Domain Driven Data Mining [PDF]

, 2011
In the preceding decade data mining has came into sight as one of the largely energetic areas in information technology Traditional data mining is seriously dependent on data itself and relies on data oriented methodologies So there is a universal ...
Dr. Mitu Kumari
core  

Optical property dataset of inorganic phosphor

Scientific Reports
Developing inorganic phosphor with desired properties for light-emitting diode application has traditionally relied on time-consuming and labor-intensive material development processes.
Seunghun Jang, Gyoung S. Na, Yunhee Choi, Hyunju Chang   +3 more
doaj   +1 more source

Embodied Learning in Virtual Reality: Enhancing Japanese Psychomimetic Word Acquisition Through Emotional Experiences

IEEE Access
Virtual reality (VR) offers the potential for embodied learning through multisensory engagement. However, empirical research on the direct impact of emotional experiences on learning outcomes remains limited.
Tang Li, Xuewang Geng, Masanori Yamada
doaj   +1 more source

Few-shot prediction of amyloid β accumulation from mainly unpaired data on biomarker candidates

npj Systems Biology and Applications, 2023
The pair-wise observation of the input and target values obtained from the same sample is mandatory in any prediction problem. In the biomarker discovery of Alzheimer’s disease (AD), however, obtaining such paired data is laborious and often avoided ...
Yuichiro Yada, Honda Naoki
doaj   +1 more source

Workout Detection by Wearable Device Data Using Machine Learning

Applied Sciences, 2023
There are many reports that workouts relieve daily stress and are effective in improving mental and physical health. In recent years, there has been a demand for quick and easy methods to analyze and evaluate living organisms using biological information
Yutaka Yoshida, Emi Yuda
doaj   +1 more source